Multi-source domain generalization with few-shot fine-tuning (MSDG-FT) for cross-dataset EEG mental workload classification.

Overview

Authors: Abinaya G¹, Dinakaran K²

Department of IT, Saveetha Engineering College, Chennai, India
Department of CSE, Vel Tech Multi Tech Dr. Rangarajan Dr.Sakunthala Engineering College, Chennai, India

Institutions: Saveetha University (India); Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (India)

Journal: MethodsX, volume 16, article 103913

Dates: received 26 February 2026; accepted 13 April 2026; published online 15 April 2026

Type: Research article · Language: English

License: CC BY-NC-ND

Identifiers: DOI 10.1016/j.mex.2026.103913 · PMID 42058718 · PMCID PMC13123318 · OpenAlex W7154526894

Open access: gold, a free copy (OpenAlex)

Status: data only

Categories: EEG (modality)

Methods: Smoothing, state filtering, decompositions, Machine learning, Preprocessing, Statistics

Keywords: Mental workload, EEG, Cross-domain transfer, Domain adaptation, Multi-source learning, Brain-computer interface, Few-shot fine-tuning

Topic: EEG and Brain-Computer Interfaces (Cognitive Neuroscience, Neuroscience), according to OpenAlex

Citations: not cited yet (Europe PMC); 18 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

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Data

Datasets cited

zenodo:5055046, at Zenodo; found in the references

Data availability statement

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it says that the data are available on request

Read it in the paper: doi.org/10.1016/j.mex.2026.103913.

Versions

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Version 1, 29 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 2 authors, 7 keywords, 13 references.

Cite

This paper

G, A., & K, D. (2026). Multi-source domain generalization with few-shot fine-tuning (MSDG-FT) for cross-dataset EEG mental workload classification. MethodsX, 16, 103913. https://doi.org/10.1016/j.mex.2026.103913

BibTeX

@article{g2026multi, author = {G, Abinaya and K, Dinakaran}, title = {{Multi-source domain generalization with few-shot fine-tuning (MSDG-FT) for cross-dataset EEG mental workload classification}}, journal = {MethodsX}, year = {2026}, month = apr, volume = {16}, pages = {103913}, publisher = {Elsevier}, issn = {2215-0161}, doi = {10.1016/j.mex.2026.103913}, url = {https://doi.org/10.1016/j.mex.2026.103913}, pmid = {42058718}, pmcid = {PMC13123318} }

RIS

TY - JOUR AU - G, Abinaya AU - K, Dinakaran TI - Multi-source domain generalization with few-shot fine-tuning (MSDG-FT) for cross-dataset EEG mental workload classification T2 - MethodsX J2 - MethodsX PY - 2026 DA - 2026/04/15 VL - 16 SP - 103913 SN - 2215-0161 PB - Elsevier DO - 10.1016/j.mex.2026.103913 UR - https://doi.org/10.1016/j.mex.2026.103913 LA - en ER -

CSL-JSON

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